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Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System.
Nora Balfe1, Sarah Sharples, John R Wilson2
1Trinity College Dublin, Ireland.
Human Factors
|April 4, 2018
Summary
Understanding automation is key for building trust in real-world systems, differing from lab studies. This research observed rail operators to analyze trust factors in operational environments.
Area of Science:
- Human-Computer Interaction
- Automation Systems Engineering
- Cognitive Psychology
Background:
- Trust in automation is crucial for its adoption but is often studied in artificial lab settings.
- Real-world automation trust research is less common, despite its practical importance.
Purpose of the Study:
- To investigate trust factors in real-world automation systems.
- To apply observational methods in a railway sector case study.
Main Methods:
- Observation of experienced rail operators in signaling centers.
- Analysis of operator activities and reported trust levels via questionnaires.
Main Results:
- Distinct operator activities were observed even in similar work conditions.
- Significant differences in trust dimensions correlated with operator intervention and involvement levels.
Conclusions:
- Understanding the automation is the strongest trust dimension in this real-world study.
- Trust development in safety-critical systems may differ from laboratory automation.
Keywords:
ethnographic observationshuman-automation interactionsupervisory controltechnology acceptancetrust in automationMore Related Videos
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